Predictive factors of mortality in patients admitted to the emergency department for SARS-Cov2 pneumonia

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Sami Souissi
Héla Ben Turkia
Soumaya Saad
Syrine Keskes
Camilia Jeddi
Hanene Ghazali

Abstract

Introduction: The overcrowding of intensive care units during the corona virus pandemic increased the number of patients managed in the emergency department (ED).


The detection timely of the predictive factors of mortality and bad outcomes improve the triage of those patients.


Aim: To define the predictive factors of mortality at 30 days among patients admitted on ED for covid-19 pneumonia.


Methods:  This was a prospective, monocentric, observational study for 6 months. Patients over the age of 16 years admitted on the ED for hypoxemic pneumonia due to confirmed SARS-COV 2 infection by real-time reverse-transcription polymerase chain reaction (rRT-PCR) were included. Multivariate logistic regression was performed to investigate the predictive factors of mortality at 30 days.


Results: 463 patients were included. Mean age was 65±14 years, Sex-ratio=1.1. Main comorbidities were hypertension (49%) and diabetes (38%). Mortality rate was 33%. Patients who died were older (70±13 vs. 61±14;p<0.001), and had more comorbidities: hypertension (57% vs. 43%, p=0.018), chronic heart failure (8% vs. 3%, p=0.017), and coronary artery disease (12% vs. 6%, p=0.030).


By multivariable analysis, factors independently associated with 30-day mortality were age ≥65 years aOR: 6.9, 95%CI 1.09-44.01;p=0.04) SpO2<80% (aOR: 26.6, 95%CI 3.5-197.53;p=0.001) and percentage of lung changes on CT scan>70% (aOR: 5.6% 95%CI .01-31.29;p=0.04).


Conclusion: Mortality rate was high among patients admitted in the ED for covid-19 pneumonia. The identification of predictive factors of mortality would allow better patient management.


 

Keywords:

COVID, pneumonia, mortality, prognosis, sarscov2

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References

  1. Majumder J, Minko T. Recent Developments on Therapeutic and Diagnostic Approaches for COVID-19. AAPS J 2021;23(1):14.
  2. Dorjee K, Kim H, Bonomo E, Dolma R. Prevalence and predictors of death and severe disease in patients hospitalized due to COVID-19: A comprehensive systematic review and meta-analysis of 77 studies and 38,000 patients. PloS One [Internet]. 2020 Dec 7 [cited 2023 oct 3];15(12): 91. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243191
  3. Bhan G, Surie A, Horwood C, Dobson R, Alfers L, Portela A, et al. Informal work and maternal and child health: a blind spot in public health and research. Bull World Health Organ 2020;98(3):219‑21.
  4. Klaveren D van, Rekkas A, Alsma J, Verdonschot RJCG, Koning DTJJ, Kamps MJA, et al. COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19. BMJ Open 2021;11(9): 68-71.
  5. Alhumaid S, Al Mutair A, Al Alawi Z, Al Salman K, Al Dossary N, Omar A, et al. Clinical features and prognostic factors of intensive and non-intensive 1014 COVID-19 patients: an experience cohort from Alahsa, Saudi Arabia. Eur J Med Res 2021;26(1):47.
  6. Serwin K, Ossowski A, Szargut M, Cytacka S, Urbańska A, Majchrzak A, et al. Molecular Evolution and Epidemiological Characteristics of SARS COV-2 in (Northwestern) Poland. Viruses 2021;13(7):1295.
  7. Alm E, Broberg EK, Connor T, Hodcroft EB, Komissarov AB, Maurer-Stroh S, et al. Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020. Euro Surveill Bull Eur Sur Mal Transm Eur Commun Dis Bull 2020;25(32):2001410.
  8. Estella Á, Garcia Garmendia JL, de la Fuente C, Machado Casas JF, Yuste ME, Amaya Villar R, et al. Predictive factors of six-week mortality in critically ill patients with SARS-CoV-2: A multicenter prospective study. Med Intensiva 2021;46(4):179‑91.
  9. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy. JAMA 2020;323(16):1574‑81.
  10. Bhatraju PK, Ghassemieh BJ, Nichols M, Kim R, Jerome KR, Nalla AK, et al. Covid-19 in Critically Ill Patients in the Seattle Region — Case Series. N Engl J Med 2020;382(21):2012‑22.
  11. Xu J, Yang X, Yang L, Zou X, Wang Y, Wu Y, et al. Clinical course and predictors of 60-day mortality in 239 critically ill patients with COVID-19: a multicenter retrospective study from Wuhan, China. Crit Care 2020;24(1):394.
  12. Castells M, Lopez‐Tort F, Colina R, Cristina J. Evidence of increasing diversification of emerging Severe Acute Respiratory Syndrome Coronavirus 2 strains. J Med Virol 2020;92(10):2165‑72.
  13. Mesas A, Cavero-Redondo I, Alvarez-Bueno C, Cabrera M, Andrade S, Sequí-Domínguez I, et al. Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta- analysis exploring differences by age, sex and health conditions. PLoS ONE 2020;15:67-72
  14. Grover S, Mohanty V, Jain S, Anand T, Aghi MB. “YES it’s the Perfect Time to Quit”: Fueling Tobacco Cessation in India during COVID-19 Pandemic. Public health 2020;202: 93–9.
  15. Lee AC, Li WT, Apostol L, Ma J, Taub PR, Chang EY, et al. Cardiovascular, cerebrovascular, and renal co-morbidities in COVID-19 patients: A systematic-review and meta-analysis. Comput Struct Biotechnol J 2021;19:3755‑64.
  16. Godman B, Haque M, Islam S, Iqbal S, Urmi UL, Kamal ZM, et al. Rapid Assessment of Price Instability and Paucity of Medicines and Protection for COVID-19 Across Asia: Findings and Public Health Implications for the Future. Front Public Health 2020;8:585832.
  17. Nandy K, Salunke A, Pathak SK, Pandey A, Doctor C, Puj K, et al. Coronavirus disease (COVID-19): A systematic review and meta-analysis to evaluate the impact of various comorbidities on serious events. Diabetes Metab Syndr 2020;14(5):1017‑25.
  18. Ghayda RA, Lee KH, Kim JS, Lee S, Hong SH, Kim KS, et al. Chest CT abnormalities in COVID-19: a systematic review. Int J Med Sci 2021;18(15):3395‑402.
  19. Li M, Lei P, Zeng B, Li Z, Yu P, Fan B, et al. Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease. Acad Radiol 2020;27(5):603‑8.
  20. Liu J, Chen T, Yang H, Cai Y, Yu Q, Chen J, et al. Clinical and radiological changes of hospitalised patients with COVID-19 pneumonia from disease onset to acute exacerbation: a multicentre paired cohort study. Eur Radiol 2020;30(10):5702‑8.